DREB3 Antibody is a polyclonal antibody produced in rabbits against the recombinant DREB3 protein (Met1–Leu389) from Spinacia oleracea (spinach). It specifically binds to DREB3, a member of the AP2/ERF transcription factor family that regulates genes involved in abiotic stress tolerance, such as drought, salinity, and cold .
DREB3 antibodies enable detection of DREB3 expression under stress conditions. For example:
In tomato plants, DREB3 homologs showed upregulated expression under NaCl, drought, low temperature, and oxidative stress (H₂O₂ treatment) .
Constitutive expression was observed in flowers, suggesting organ-specific regulatory roles .
Recent advancements in chromatin profiling techniques, such as CUT&RUN, utilize high-specificity antibodies like DREB3 to study transcription factor binding dynamics. Key validation steps include:
Genome-wide enrichment analysis to confirm target-specific binding patterns.
Motif analysis to verify overlap with known DNA-binding sequences .
Signal-to-Noise Ratio: Top-performing antibodies are selected based on robust peak enrichment in assays like CUT&RUN .
Lot-Specific Validation: Each antibody lot undergoes rigorous testing to ensure consistency in sensitivity and specificity (e.g., >90% correlation with original performance data) .
Immunoaffinity Purification: DREB3 antibodies (e.g., Biomatik’s CAU37190) demonstrate high specificity in capturing target antigens from protein mixtures, enabling applications in crystallography and biosensor development .
Species Restriction: Reactivity is confirmed only for spinach-derived DREB3; cross-reactivity with homologs in other species requires further validation.
Diagnostic Exclusion: Explicitly restricted to research applications due to lack of clinical validation .
DREB3 (Dehydration-Responsive Element-Binding protein 3) is a member of the AP2/ERF transcription factor family that plays a crucial role in regulating genes involved in abiotic stress tolerance mechanisms, including drought, salinity, and cold stress responses. This transcription factor is particularly important in plant research because:
It functions as a key regulator in stress-responsive gene networks
DREB3 expression patterns serve as molecular indicators of plant stress responses
Understanding DREB3 function contributes to developing climate-resilient crop varieties
It shows constitutive expression in specific organs like flowers, suggesting additional regulatory roles beyond stress response
The ability to detect and quantify DREB3 expression using antibodies enables researchers to elucidate stress response pathways and potentially engineer improved stress tolerance in agricultural crops.
DREB3 antibodies are primarily available as polyclonal preparations raised in rabbits against recombinant DREB3 protein from Spinacia oleracea (spinach). Key specifications include:
All commercially available DREB3 antibodies are explicitly designated for research applications only and not for diagnostic procedures .
Validating DREB3 antibody specificity, particularly when working with species other than spinach, requires a systematic approach:
Sequence homology analysis: Compare the DREB3 amino acid sequence from your species with Spinacia oleracea DREB3 (accession Q2TN83), focusing on the Met1~Leu389 region used as the immunogen .
Positive and negative controls: Include samples with known DREB3 expression levels, such as:
Spinach tissue samples (positive control)
Tissues under stress conditions known to upregulate DREB3
Wild-type vs. DREB3 knockout/knockdown plants when available
Western blot optimization:
Immunoprecipitation followed by mass spectrometry: This approach provides definitive confirmation of target binding specificity.
Signal validation: For chromatin immunoprecipitation applications, perform motif analysis to verify enrichment of known DREB binding motifs.
Remember that DREB3 antibodies have confirmed reactivity only for spinach-derived DREB3, and cross-reactivity with homologs in other species requires thorough validation.
When designing plant stress response studies using DREB3 antibodies, consider these methodological approaches:
Stress treatment design:
Include multiple stress conditions: NaCl (salinity), PEG (drought), low temperature, and H₂O₂ (oxidative stress)
Implement time-course sampling to capture expression dynamics
Include controls for each stress condition
Western blot protocol:
Immunohistochemistry for tissue-specific expression:
CUT&RUN for genome-wide binding analysis:
Optimize signal-to-noise ratio through antibody titration
Perform genome-wide enrichment analysis to confirm target-specific binding patterns
Validate findings with motif analysis to verify overlap with known DREB DNA-binding sequences
For all applications, antibody lot-specific validation is essential to ensure consistency in sensitivity and specificity (aim for >90% correlation with original performance data).
DREB3 antibodies are particularly valuable in advanced chromatin profiling techniques such as CUT&RUN (Cleavage Under Targets and Release Using Nuclease). This method offers advantages over traditional ChIP-seq for mapping transcription factor binding sites. For optimal results:
Antibody validation for chromatin profiling:
Perform genome-wide enrichment analysis to confirm target-specific binding patterns
Use motif analysis to verify overlap with known DREB binding sequences
Evaluate signal-to-noise ratio in preliminary experiments before scaling up
Experimental optimization:
Titrate DREB3 antibody concentration to determine optimal enrichment
Include appropriate controls (IgG control, input samples)
Consider spike-in normalization for quantitative comparisons across conditions
Data analysis workflow:
Apply peak calling algorithms optimized for transcription factors
Perform motif discovery to identify binding sequence preferences
Map binding sites to gene regulatory regions and correlate with expression data
Integration with other techniques:
Combine with RNA-seq to correlate binding with transcriptional outcomes
Use with ATAC-seq to examine chromatin accessibility at binding sites
Pair with protein-protein interaction studies to identify transcriptional complexes
For most reliable results, select antibody lots with demonstrated performance in chromatin profiling applications and consistency across experimental replicates.
To comprehensively characterize DREB3 binding dynamics under various stress conditions:
Experimental design for comparative binding analysis:
Subject plants to controlled stress treatments (drought, salinity, cold, oxidative stress)
Include time-course sampling to capture temporal binding dynamics
Consider tissue-specific analyses, particularly including floral tissues where constitutive expression occurs
Recommended analytical approaches:
CUT&RUN with DREB3 antibodies for high-resolution binding profiles
Differential binding analysis between stress conditions
Motif enrichment analysis to identify condition-specific binding preferences
Integration with chromatin accessibility data
Data validation strategies:
Orthogonal validation using ChIP-qPCR for selected targets
Functional validation through reporter assays
Correlation with gene expression changes under matching conditions
Advanced integrative analysis:
Construct condition-specific gene regulatory networks
Identify stress-specific co-factors through co-immunoprecipitation followed by mass spectrometry
Compare binding profiles across related DREB family members to delineate functional specificity
This multifaceted approach enables the development of comprehensive models for DREB3-mediated stress response regulation, contributing to fundamental understanding of plant stress adaptation mechanisms.
Inconsistent western blot results with DREB3 antibodies can stem from multiple sources. Implement this systematic troubleshooting approach:
Sample preparation optimization:
Ensure complete protein extraction with plant-specific lysis buffers
Add protease inhibitors to prevent degradation
Optimize protein loading (20-30μg per lane recommended)
Verify protein quality before immunoblotting
Antibody-specific considerations:
Technical optimizations:
Increase blocking time/concentration to reduce background
Optimize transfer conditions for high molecular weight proteins
Test different membrane types (PVDF vs. nitrocellulose)
Increase washing frequency and duration
Controls and validation:
Include positive control (spinach extract)
Run parallel blots with housekeeping protein controls
Compare results across multiple detection methods
Consider performing peptide competition assays to confirm specificity
The thermal stability test indicates less than 5% activity loss within expiration date under appropriate storage conditions, suggesting that properly stored antibody should maintain consistent performance .
When comparing DREB3 expression patterns across plant species using antibody-based methods, proper interpretation requires consideration of multiple factors:
Sequence divergence considerations:
Expression pattern interpretation framework:
Document tissue-specific patterns (e.g., constitutive expression in flowers vs. stress-induced expression in leaves)
Map species-specific differences to evolutionary relationships
Consider gene duplication events that may have created functional redundancy
Correlate protein detection with transcript levels from RT-qPCR
Technical validation approaches:
Confirm specificity for each species using immunoprecipitation followed by mass spectrometry
Validate antibody performance using recombinant proteins from each species
Document specific conditions for optimal detection in each species
Biological context integration:
Consider species-specific stress tolerance mechanisms
Correlate expression patterns with habitat and evolutionary adaptation
Integrate findings with transcriptomic data when available
Account for potential differences in post-translational modifications
This integrated approach allows for meaningful cross-species comparisons while acknowledging the technical limitations of antibody-based detection across divergent homologs.
The integration of DREB3 antibody-based experimental data with emerging AI technologies offers promising avenues for predictive plant stress response modeling:
Data generation for AI model training:
Use DREB3 antibodies to generate time-course expression data under multiple stress conditions
Apply CUT&RUN with DREB3 antibodies to map genome-wide binding profiles
Generate consistent, high-quality datasets across diverse plant species and conditions
AI model development approaches:
Train neural networks on DREB3 binding patterns to predict stress-responsive genes
Develop protein-DNA interaction models based on characterized binding motifs
Create multi-omics integration frameworks that incorporate DREB3 binding data with transcriptomics and metabolomics
Model validation strategies:
Use experimental DREB3 binding data as ground truth for model evaluation
Implement cross-validation across plant species to test model generalizability
Benchmark predictions against known DREB3-regulated stress response pathways
Practical applications:
Predict plant stress responses under novel environmental conditions
Design targeted gene modifications to enhance stress tolerance
Identify key regulatory hubs in stress response networks for breeding programs
Recent advances in AI-based antibody design technology, which has successfully generated antigen-specific antibody sequences for targets like SARS-CoV-2, suggest similar approaches could be applied to develop improved DREB3 antibodies with enhanced specificity and sensitivity .
DREB3 antibodies can significantly contribute to understanding how chromatin architecture changes during plant stress responses:
Integration with 3D genome mapping techniques:
Combine DREB3 CUT&RUN data with Hi-C approaches to correlate binding with chromatin looping
Implement DNA FISH with DREB3 immunofluorescence to visualize spatial organization
Apply Micro-C with DREB3 antibodies to map fine-scale chromatin interactions at target loci
Stress-induced chromatin reorganization studies:
Track temporal changes in DREB3 binding and chromatin conformation
Identify stress-specific enhancer-promoter interactions mediated by DREB3
Characterize the formation of transcriptional hubs during stress responses
Technical considerations for chromatin architecture studies:
Optimize crosslinking conditions for capturing transient interactions
Implement spike-in normalization for quantitative comparisons
Develop computational pipelines for integrating binding and interaction data
Biological significance assessment:
Correlate chromatin reorganization with transcriptional outcomes
Identify conserved architectural features across stress conditions
Develop models for DREB3-mediated genome reorganization during stress adaptation
This emerging research direction bridges molecular biology with structural genomics, providing mechanistic insights into how transcription factors like DREB3 orchestrate genome-wide responses to environmental challenges .